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Use newer circleci image

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Summary:
Run the circleci tests with a non depracated circleci image. Small fix for PyTorch 1.7.
We no longer need to manually install nvidia-docker or the CUDA driver.

Reviewed By: patricklabatut

Differential Revision: D34426816

fbshipit-source-id: d6c67bfb0ff86dff8d8f7fe7b8801657c2e80030
This commit is contained in:
Jeremy Reizenstein 2022-02-25 07:53:34 -08:00 committed by Facebook GitHub Bot
parent 1cbf80dab6
commit 0e88b21de6
2 changed files with 4 additions and 84 deletions
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44
.circleci/config.in.yml
View File

@ -128,55 +128,15 @@ jobs:
binary_linux_conda_cuda:
<<: *binary_common
machine:
image: ubuntu-1604:201903-01
image: ubuntu-1604-cuda-10.2:202012-01
resource_class: gpu.nvidia.small.multi
steps:
- checkout
- run:
name: Setup environment
command: |
set -e
curl -L https://packagecloud.io/circleci/trusty/gpgkey | sudo apt-key add -
curl -L https://dl.google.com/linux/linux_signing_key.pub | sudo apt-key add -
sudo apt-get update
sudo apt-get install \
apt-transport-https \
ca-certificates \
curl \
gnupg-agent \
software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository \
"deb [arch=amd64] https://download.docker.com/linux/ubuntu \
$(lsb_release -cs) \
stable"
sudo apt-get update
export DOCKER_VERSION="5:19.03.2~3-0~ubuntu-xenial"
sudo apt-get install docker-ce=${DOCKER_VERSION} docker-ce-cli=${DOCKER_VERSION} containerd.io=1.2.6-3
# Add the package repositories
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
export NVIDIA_CONTAINER_VERSION="1.0.3-1"
sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit=${NVIDIA_CONTAINER_VERSION}
sudo systemctl restart docker
DRIVER_FN="NVIDIA-Linux-x86_64-460.84.run"
wget "https://us.download.nvidia.com/XFree86/Linux-x86_64/460.84/$DRIVER_FN"
sudo /bin/bash "$DRIVER_FN" -s --no-drm || (sudo cat /var/log/nvidia-installer.log && false)
nvidia-smi
- run:
name: Pull docker image
command: |
nvidia-smi
set -e
{ docker login -u="$DOCKERHUB_USERNAME" -p="$DOCKERHUB_TOKEN" ; } 2> /dev/null

44
.circleci/config.yml
View File

@ -128,55 +128,15 @@ jobs:
binary_linux_conda_cuda:
<<: *binary_common
machine:
image: ubuntu-1604:201903-01
image: ubuntu-1604-cuda-10.2:202012-01
resource_class: gpu.nvidia.small.multi
steps:
- checkout
- run:
name: Setup environment
command: |
set -e
curl -L https://packagecloud.io/circleci/trusty/gpgkey | sudo apt-key add -
curl -L https://dl.google.com/linux/linux_signing_key.pub | sudo apt-key add -
sudo apt-get update
sudo apt-get install \
apt-transport-https \
ca-certificates \
curl \
gnupg-agent \
software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository \
"deb [arch=amd64] https://download.docker.com/linux/ubuntu \
$(lsb_release -cs) \
stable"
sudo apt-get update
export DOCKER_VERSION="5:19.03.2~3-0~ubuntu-xenial"
sudo apt-get install docker-ce=${DOCKER_VERSION} docker-ce-cli=${DOCKER_VERSION} containerd.io=1.2.6-3
# Add the package repositories
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
export NVIDIA_CONTAINER_VERSION="1.0.3-1"
sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit=${NVIDIA_CONTAINER_VERSION}
sudo systemctl restart docker
DRIVER_FN="NVIDIA-Linux-x86_64-460.84.run"
wget "https://us.download.nvidia.com/XFree86/Linux-x86_64/460.84/$DRIVER_FN"
sudo /bin/bash "$DRIVER_FN" -s --no-drm || (sudo cat /var/log/nvidia-installer.log && false)
nvidia-smi
- run:
name: Pull docker image
command: |
nvidia-smi
set -e
{ docker login -u="$DOCKERHUB_USERNAME" -p="$DOCKERHUB_TOKEN" ; } 2> /dev/null